Talks and presentations
(Graduate advisees are underlined)
Invited
[6] Luan H. “Harnessing the power of spatial data science to achieve health equity”, CUNY Graduate School of Public Health & Health Policy, April 27, 2023, New York, NY, USA
[5] Luan H. “Bayesian probabilistic modeling in spatiotemporal data analysis at small-area levels”, Department of Geography, Florida State University, Jan 30, 2023, Tallahassee, FL, USA.
[4] Luan H. “Bayesian spatial modeling and its applications in health and crime geography”, School of Resource and Environmental Sciences, Wuhan University, Dec 27, 2019, Wuhan, China.
[3] Luan H. “Harnessing the power of probabilistic modeling in spatial data science: The application of Bayesian spatial and spatiotemporal analysis in addressing societal challenges”, Department of Geography, University of Oregon, Feb 15, 2018, Eugene, USA.
[2] Luan H. “Advanced spatial analysis: Bayesian spatial statistical modeling”, School of Geodesy and Geomatics, Wuhan University, June 1, 2017, Wuhan, China.
[1] Luan H. “The Healthy City movement in Canada: What can Artificial Intelligence-enabled high-definition mapping do?”, the company of Ecopia – AI Enabled Feature Extraction (https://www.ecopiatech.com/), Dec 8, 2017, Toronto, Canada.
Panel Discussant
[3] Luan H, Nilupaer, J, Lin Y, etc. “Research Mentoring III: Quantitative Research Methods”. American Association of Geographers Annual Meeting, March 23-27, 2023, Denver, USA.
[2] Gao S, Haynes D, Li Z, Luan H, Shi X, and Wang S. “Symposium on Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS: CyberGIS-enabled spatial epidemiology”. American Association of Geographers Annual Meeting, Feb 25-March 1, 2022 (Virtual)
[1] Chuenpagdee R, Furst B, Hartt M, Luan H, Lynch N, Moos M, and Tchoukaleyska R. “Creating and sustaining collaborative research networks on small and mid-sized cities”. Roundtable discussion at Small and Adaptive Cities 2017: Sustainable futures in the urban periphery, Sep 29, 2017, St. John’s, Newfoundland, Canada.
Conference/Symposium presentations
[18] Luan H and Zhang S. “Food accessibility at the walkable distance scale: a spatial statistical analysis using the Bayesian two-part log-normal model”, American Association of Geographers Annual Meeting, March 23-27, 2023, Denver, USA.
[17] Luan H. “The association between geographical accessibility of pre-exposure prophylaxis (PrEP) and social determinants of health: does the choice of accessibility measure matter?”, GEOMed 2022, October 12-14, 2022, University of California, Irvine, USA.
[16] Luan H. “A Bayesian spatiotemporal approach to analyze publicly available, censored HIV datasets in Mississippi, 2014-2018”. American Association of Geographers Annual Meeting, Feb 25-March 1, 2022. (Virtual)
[15] Luan H. “HIV infection prevalence significantly intersects with COVID-19 infection at the area-level: a USA county-level spatial analysis”. Intersectionality and Public Health Symposium, May 7, 2021, Chicago. (Online, peer-reviewed)
[14] Luan H. “Estimating county-level mortality rates using left-censored data: a Bayesian spatiotemporal approach”. SPATIAL ACCURACY 2020, July 7-10, Buffalo, USA. [Cancelled due to COVID-19]
[13] Song I and Luan H. “Does missing data mechanism matter?: Exploring its effect on spatiotemporal data imputation accuracy”. SPATIAL ACCURACY 2020, July 7-10, Buffalo, USA. [Cancelled due to COVID-19]
[12] Luan H, Ransome Y, Nassau T, and Brady K. “Bayesian spatiotemporal models for zero-inflated count data: Exploring the trends of late HIV diagnosis rates among Black/African American population in Philadelphia, 2010-2016”, American Association of Geographers Annual Meeting, April 6-10, 2020, Denver, USA. [Cancelled due to COVID-19]
[11] Song I and Luan H. “Local explanations of individual characteristics and district-level air pollution on low birth weight in South Korea: a Bayesian network approach”. American Association of Geographers Annual Meeting, April 6-10, 2020, Denver, USA. [Cancelled due to COVID-19]
[10] Fuller D, Luan H, Alfosool A, and Chen Y. “Time weighted approaches for combining GPS and area level data to create individual measures”. American Association of Geographers Annual Meeting, April 6-10, 2020, Denver, USA. [Cancelled due to COVID-19]
[9] Luan H. “Imputing censored health data at small-area levels: A Bayesian spatiotemporal modelling approach”, American Association of Geographers Annual Meeting, April 2-7, 2019, Washington DC, USA.
[8] Luan H, Fuller D, and Dorani F. “Urban sprawl in Canada at the Census Tract level: a nationwide spatial analysis”, Small and Adaptive Cities 2017: Sustainable futures in the urban periphery, September 29 to October 1, 2017, St. John’s, Newfoundland, Canada.
[7] Minaker L, Law J, Luan H, and Quick M. “Obesity, its associations with the food environment, and spatio-temporal indicators of the food environment in the Region of Waterloo, Ontario”, Canadian Obesity Summit, April 26-28, 2017, Banff, Alberta, Canada.
[6] Luan H, Quick M, and Law J. “A spatial zero-inflated Poisson model for analyzing violent crime data with zero-inflation”, American Association of Geographers Annual Meeting, April 5-9, 2017, Boston, Massachusetts, USA.
[5] Luan H, Law J, and Quick M. “Local spatio-temporal patterns of relative healthy food access in the Region of Waterloo, Ontario, 2011-2014”, The Ontario Public Health Convention (TOPHC), April 4-6, 2016, Toronto, Canada.
[4] Quick M, Luan H, and Law J. “The influence of alcohol outlet density on violent crime calls-to-police in Waterloo Region: A Bayesian spatial analysis”, Canadian Association of Geographers Annual Meeting, June 1-5, 2015, Vancouver, Canada.
[3] Luan H, Law J, and Minaker L. “Diving into the consumer nutrition environment: a retail food environment index based on spatial Bayesian factor analysis at a small-area level”, American Association of Geographers Annual Meeting, April 21-25, 2015, Chicago, Illinois, USA.
[2] Luan H and Quick M. “Is neighborhood socioeconomic status associated with fast food accessibility? A spatial analysis of the Region of Waterloo”, Canadian Association of Geographers – Ontario Division (CAGONT), Critical Human and Physical Geographies, October 24-25, 2014, York University, Toronto, Canada.
[1] Luan H and Law J. “Web GIS in Public Health Surveillance and Planning”, Canadian Association of Geographers Annual Meeting, May 28 – June 2, 2012, Waterloo, Canada.
Conference posters
[7] Zhang S and Luan H. “Bayesian multivariate spatiotemporal modeling of bus and taxi ridership”. The 30th International Conference on Geoinformatics, July 19-25, 2023, London, UK.
[6] Song I and Luan H. “Matching by Multivariate Similarity Matrix with Geographic Coordinates: Causal Inference of the Relationship between Residential Greenspace and Deaths by Mental Illness”. GEOMed 2022, October 12-14, 2022, University of California, Irvine, USA.
[5] Nzeyimana A and Luan H. “Representation learning from geospatial data”, American Association of Geographers Annual Meeting, April 2-7, 2019, Washington DC, USA.
[4] Dean L, Luan H, Brady K, and Ransome Y. “Does bankruptcy risk predict HIV new cases? A spatio-temporal analysis of the local credit economy and HIV in Philadelphia, PA”, Annual Meeting of Society for Epidemiologic Research, June 19-22, 2018, Baltimore, USA.
[3] Luan H, Fuller D, Buote R, and Stanley. “User guide for big data in population and public health”, Public Health 2018, May 28-31, 2018, Montreal, Canada.
[2] Luan H and Ransome Y. “A Bayesian spatial versus tradition approach to characterize socioeconomic deprivation: what is the impact on public health ecological studies?”, GeoMed 2017: International conference on spatial statistics, spatial epidemiology & spatial aspects of public health – deeper insight from big data and small areas, September 7-9, 2017, Porto, Portugal.
[1] Perlman CM, Law J, Rios S, Luan H, Seitz D, and Stolee P. “ ‘Hotspots’ of Psychiatric Hospitalizations among Older Adults with Delirium, Dementia, and Cognitive Disorders in Ontario, 2011-2014”, 2016 CAHSPR Conference: A Learning Healthcare System: Let the Patient Revolution Begin!, May 10-12, 2016, Toronto, Canada.
Workshops
- [5] Landscape Carbon for Atmospheric Recovery (LCSAR) Workshop, Oct 25-27, 2019, Portland.
- [4] Applications of Geospatial Information and Spatial Analytical Techniques in Public Health, July 17-19, 2018, Shanghai, China
- [3] Food Environment Measures for Canadian Cities, April 26-27, 2018, Toronto, Ontario, Canada.
- [2] Healthy Cities Research Think Tank meeting, November 30 to December 1, 2017, Toronto, Ontario, Canada
- [1] The Future of Walkability Measures, November 16-17, 2017, St. John’s, Newfoundland, Canada.